"Convolutional Neural Network Approach for Multiple Sclerosis Lesion ..."

Nada Haj Messaoud et al. (2022)

> Home

Details and statistics

DOI: 10.1007/978-3-031-21753-1_52

access: closed

type: Conference or Workshop Paper

metadata version: 2022-12-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ideal/MessaoudMAAAFB22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ideal/MessaoudMAAAFB22
Nada Haj Messaoud, Asma Mansour, Rim Ayari, Asma Ben Abdallah, Mouna Aissi, Mahbouba Frih, Mohamed Hedi Bedoui:
Convolutional Neural Network Approach for Multiple Sclerosis Lesion Segmentation. IDEAL 2022: 540-548

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.